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127 lines
5.5 KiB
127 lines
5.5 KiB
// Copyright (c) Six Labors and contributors.
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// Licensed under the Apache License, Version 2.0.
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using System;
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using SixLabors.ImageSharp.Processing;
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using SixLabors.ImageSharp.Processing.Drawing.Brushes;
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using SixLabors.ImageSharp.PixelFormats;
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using SixLabors.ImageSharp.Processing.Drawing;
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using Xunit;
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namespace SixLabors.ImageSharp.Tests.Drawing
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{
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public class FillLinearGradientBrushTests : FileTestBase
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{
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[Fact]
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public void LinearGradientBrushWithEqualColorsReturnsUnicolorImage()
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{
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string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
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using (var image = new Image<Rgba32>(10, 10))
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{
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LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
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new LinearGradientBrush<Rgba32>(
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new SixLabors.Primitives.Point(0, 0),
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new SixLabors.Primitives.Point(10, 0),
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new LinearGradientBrush<Rgba32>.ColorStop(0, Rgba32.Red),
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new LinearGradientBrush<Rgba32>.ColorStop(1, Rgba32.Red));
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image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
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image.Save($"{path}/UnicolorGradient.png");
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using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
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{
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Assert.Equal(Rgba32.Red, sourcePixels[0, 0]);
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Assert.Equal(Rgba32.Red, sourcePixels[9, 9]);
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Assert.Equal(Rgba32.Red, sourcePixels[5, 5]);
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Assert.Equal(Rgba32.Red, sourcePixels[3, 8]);
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}
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}
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}
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[Fact]
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public void HorizontalLinearGradientBrushReturnsUnicolorColumns()
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{
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int width = 500;
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int height = 10;
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int lastColumnIndex = width - 1;
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string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
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using (var image = new Image<Rgba32>(width, height))
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{
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LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
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new LinearGradientBrush<Rgba32>(
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new SixLabors.Primitives.Point(0, 0),
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new SixLabors.Primitives.Point(500, 0),
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new LinearGradientBrush<Rgba32>.ColorStop(0, Rgba32.Red),
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new LinearGradientBrush<Rgba32>.ColorStop(1, Rgba32.Yellow));
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image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
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image.Save($"{path}/horizontalRedToYellow.png");
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using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
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{
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Rgba32 columnColor23 = sourcePixels[23, 0];
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Rgba32 columnColor42 = sourcePixels[42, 0];
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Rgba32 columnColor333 = sourcePixels[333, 0];
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for (int i = 0; i < height; i++)
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{
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// check first and last column, these are known:
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Assert.Equal(Rgba32.Red, sourcePixels[0, i]);
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Assert.Equal(Rgba32.Yellow, sourcePixels[lastColumnIndex, i]);
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// check the random colors:
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Assert.Equal(columnColor23, sourcePixels[23, i]);
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Assert.Equal(columnColor42, sourcePixels[42, i]);
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Assert.Equal(columnColor333, sourcePixels[333, i]);
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}
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}
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}
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}
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[Fact]
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public void VerticalLinearGradientBrushReturnsUnicolorColumns()
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{
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int width = 10;
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int height = 500;
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int lastRowIndex = height - 1;
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string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
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using (var image = new Image<Rgba32>(width, height))
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{
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LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
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new LinearGradientBrush<Rgba32>(
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new SixLabors.Primitives.Point(0, 0),
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new SixLabors.Primitives.Point(0, 500),
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new LinearGradientBrush<Rgba32>.ColorStop(0, Rgba32.Red),
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new LinearGradientBrush<Rgba32>.ColorStop(1, Rgba32.Yellow));
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image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
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image.Save($"{path}/verticalRedToYellow.png");
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using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
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{
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Rgba32 columnColor23 = sourcePixels[0, 23];
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Rgba32 columnColor42 = sourcePixels[0, 42];
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Rgba32 columnColor333 = sourcePixels[0, 333];
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for (int i = 0; i < width; i++)
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{
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// check first and last column, these are known:
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Assert.Equal(Rgba32.Red, sourcePixels[i, 0]);
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Assert.Equal(Rgba32.Yellow, sourcePixels[i, lastRowIndex]);
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// check the random colors:
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Assert.Equal(columnColor23, sourcePixels[i, 23]);
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Assert.Equal(columnColor42, sourcePixels[i, 42]);
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Assert.Equal(columnColor333, sourcePixels[i, 333]);
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}
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}
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}
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}
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}
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}
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